Python Class to JSON Schema Generator
Convert Python dataclasses, Pydantic models, and TypedDicts into JSON Schema. Then jump directly into the Mock Generator with the schema to craft sample JSON.
Need JSON to Python?
Generate dataclasses/Pydantic models from JSON.
Python code Input
JSON Schema Output
Paste Python classes to produce a JSON Schema instantly.
Supports dataclasses, BaseModel classes, enums, TypedDicts, and modern type-hint syntax.
Frequently Asked Questions
Which Python structures are supported?
The converter understands regular classes, dataclasses, Pydantic BaseModel classes, and TypedDict definitions. It reads field annotations, default values, Optional/Union hints, Literal values, and Enum subclasses to build accurate JSON Schemas without uploading your code.
How does type detection work for Python?
Type hints such as list[str], dict[str, Any], Optional[int], tuple[float, float], and custom classes or enums are mapped to JSON Schema primitives, arrays, objects, or references automatically. When annotations are missing, the tool falls back to simple inference from default values while emitting warnings so you know what to adjust.
Can I use this for different Python versions and frameworks?
Yes. Modern syntax such as PEP 585 generic types, PEP 604 unions (str | None), and decorators like @dataclass(frozen=True) or @validator are supported. It also handles classic typing.Optional/typing.List hints, so code written for Python 3.7+ works out of the box.
How can I create mock JSON from the schema?
After generating the schema, use the "Generate Mock Data" shortcut to open the Mock Generator with the schema preloaded. Configure locales, array counts, and instantly create sample payloads suitable for docs or tests.